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相关论文: Local Rigidity in Sandpile Models

200 篇论文

The renormalization group (RG) is a powerful theoretical framework developed to consistently transform the description of configurations of systems with many degrees of freedom, along with the associated model parameters and coupling…

统计力学 · 物理学 2026-04-20 Andrea Gabrielli , Diego Garlaschelli , Subodh P. Patil , M. Ángeles Serrano

In this paper, we address a longstanding challenge in self-organized criticality (SOC) systems: establishing a connection between sandpiles and complex networks. Our approach employs a similarity-based transfer function characterized by two…

统计力学 · 物理学 2025-01-28 Abbas Shoja-Daliklidash , Morteza Nattagh-Najafi , Nasser Sepehri-Javan

We present a renormalization group (RG) approach to explain universal features of extreme statistics, applied here to independent, identically distributed variables. The outlines of the theory have been described in a previous Letter, the…

统计力学 · 物理学 2015-05-18 G. Gyorgyi , N. R. Moloney , K. Ozogany , Z. Racz , M. Droz

Strong Disorder Renormalization is an energy-based renormalization that leads to a complicated renormalized topology for the surviving clusters as soon as $d>1$. In this paper, we propose to include Strong Disorder Renormalization ideas…

无序系统与神经网络 · 物理学 2012-05-04 Cecile Monthus , Thomas Garel

A nonlinear two-fluid stochastic hydrodynamical description of velocity and concentration fluctuations in sedimenting suspensions is constructed, and analyzed using self-consistent (SC) and renormalization group (RG) methods. The advection…

软凝聚态物质 · 物理学 2008-02-03 Alex Levine , Sriram Ramaswamy , Robijn Bruinsma

In the presence of model risk, it is well-established to replace classical expected values by worst-case expectations over all models within a fixed radius from a given reference model. This is the "robustness" approach. We show that…

风险管理 · 定量金融 2015-10-07 Thomas Kruse , Judith C. Schneider , Nikolaus Schweizer

We introduce a notion of rigid local system on the comple- ment of a plane curve $Y$, which relies on a canonical Waldhausen de- composition of the Milnor sphere associated to $Y$. We show that when $Y$ is weigthed homogeneous this notion…

代数几何 · 数学 2014-09-16 Orlando Neto , Pedro C. Silva

A particular type of random dynamical processes is considered, in which the stochasticity is introduced through randomly fluctuating parameters. A method of local multipliers is developed for treating the local stability of such dynamical…

无序系统与神经网络 · 物理学 2015-06-25 V. I. Yukalov

We study diffusion of particles in large-scale simulations of one-dimensional stochastic sandpiles, in both the restricted and unrestricted versions. The results indicate that the diffusion constant scales in the same manner as the activity…

统计力学 · 物理学 2015-05-13 S. D. da Cunha , Ronaldo R. Vidigal , L. R. da Silva , Ronald Dickman

In the prototype sandpile model of self-organized criticality time series obtained by decomposing avalanches into waves of toppling show intermittent fluctuations. The q-th moments of wave size differences possess local multiscaling and…

统计力学 · 物理学 2009-11-07 Mario De Menech , Attilio L. Stella

We establish a rigidity theorem for Brendle and Hung's recent systolic inequality, which involves Gromov's notion of \(T^{\rtimes}\)-stabilized scalar curvature. Our primary technique is the construction of foliations by free boundary…

微分几何 · 数学 2025-01-14 Yipeng Wang

The Marginally Rigid State is a candidate paradigm for what makes granular material a state of matter distinct from both liquid and solid. Coordination number is identified as a discriminating characteristic, and for rough-surfaced…

统计力学 · 物理学 2007-05-23 R. C. Ball , R. Blumenfeld

Dimension in physical systems determines universal properties at criticality. Yet, the impact of structural perturbations on dimensionality remains largely unexplored. Here, we characterize the attraction basins of structural fixed points…

统计力学 · 物理学 2026-03-27 Lorenzo Lucarini , Giulio Cimini , Pablo Villegas

We study scaling properties of the model of fully developed turbulence for a compressible fluid, based on the stochastic Navier-Stokes equation, by means of the field theoretic renormalization group (RG). The scaling properties in this…

统计力学 · 物理学 2016-11-07 N. V. Antonov , N. M. Gulitskiy , M. M. Kostenko , T. Lučivjanský

The critical behavior of the random transverse-field Ising model in finite dimensional lattices is governed by infinite disorder fixed points, several properties of which have already been calculated by the use of the strong disorder…

无序系统与神经网络 · 物理学 2018-03-28 Ferenc Iglói , István A. Kovács

Rigidity is an emergent property of materials - it is not a feature of individual components that comprise the structure, but instead arises from interactions between many constituent parts. Recently, it has been recognized that…

软凝聚态物质 · 物理学 2025-08-27 Kelly Aspinwall , Tyler Hain , M. Lisa Manning

Rigidity regulates the integrity and function of many physical and biological systems. This is the first of two papers on the origin of rigidity, wherein we propose that "energetic rigidity," in which all non-trivial deformations raise the…

软凝聚态物质 · 物理学 2021-07-12 Ojan Khatib Damavandi , Varda F. Hagh , Christian D. Santangelo , M. Lisa Manning

We consider the abelian stochastic sandpile model. In this model, a site is deemed unstable when it contains more than one particle. Each unstable site, independently, is toppled at rate $1$, sending two of its particles to neighbouring…

概率论 · 数学 2021-03-17 Moumanti Podder , Leonardo T. Rolla

Rigid origami is examined from the perspective of rigidity theory. First and second order rigidity are defined from local differential analysis of the consistency constraint; while the static rigidity and prestress stability are defined…

度量几何 · 数学 2021-07-22 Zeyuan He , Simon D. Guest

We provide a new analysis of local SGD, removing unnecessary assumptions and elaborating on the difference between two data regimes: identical and heterogeneous. In both cases, we improve the existing theory and provide values of the…

机器学习 · 计算机科学 2022-04-18 Ahmed Khaled , Konstantin Mishchenko , Peter Richtárik